Percia David Dimitri

Percia David Dimitri is an Associate Professor at HES-SO Valais-Wallis, specializing in Data Science, Applied Machine Learning, Large Language Models, Technology Mining, and Information Economics. He is actively involved in cutting-edge research at the intersection of artificial intelligence, cybersecurity, and business applications, with a particular focus on developing quantitative methods for technology assessment, monitoring, and forecasting.

His research interests span multiple critical areas in modern technology and business. He develops novel methodologies for assessing emerging technologies, particularly focusing on Large Language Models and their applications in cybersecurity contexts. His work includes creating frameworks like PromptSight for forecasting emerging technologies through iterative self-prompting in LLMs, and TechRank for technology assessment in cybersecurity investments. He also investigates the robustness of LLMs against misuse in cyber-defense landscapes and develops methods for LLM-resilient bibliometrics to maintain research integrity in the age of generative AI.

An analysis of his recent publications reveals a strong trend toward developing practical methodologies that bridge theoretical AI research with real-world cybersecurity applications. His work consistently focuses on creating quantifiable metrics and frameworks for technology assessment, with particular emphasis on the rapidly evolving field of Large Language Models. The research demonstrates increasing sophistication in handling the challenges posed by AI-generated content in academic contexts while simultaneously leveraging AI capabilities for technology monitoring and forecasting.

As principal investigator, Dr. Dimitri has secured significant research funding from Swiss organizations including the Swiss State Secretariat for Education, Research, and Innovation (SERI), Cyber-Defence Campus, and Innosuisse. His current projects include the SwissCyber Initiative (CHF 1 million), Characterizing and Mitigating Attacks on Large Language Models (CHF 138,871), and Quantitative Technology Assessment for Cyber-Defense (CHF 148,002). These projects involve collaborations with key Swiss institutions including SATW, armasuisse Science and Technology (CYD Campus), and various research partners across the Swiss academic and defense landscape.

Dr. Dimitri is closely associated with the GenLearning Center at HES-SO Valais-Wallis and maintains strong connections with the Swiss Cyber Defense ecosystem. His research teams typically include collaborators such as Kucharavy Andrei, Sternfeld Alexander, and Vallez Cyril, forming a core group focused on the intersection of AI, cybersecurity, and business applications. His work has significant implications for Swiss cybersecurity policy, defense capabilities, and the broader technology monitoring landscape in Switzerland.